TY - JOUR T1 - Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry. JF - Hum Mol Genet Y1 - 2015 A1 - Nettleton, Jennifer A A1 - Follis, Jack L A1 - Ngwa, Julius S A1 - Smith, Caren E A1 - Ahmad, Shafqat A1 - Tanaka, Toshiko A1 - Wojczynski, Mary K A1 - Voortman, Trudy A1 - Lemaitre, Rozenn N A1 - Kristiansson, Kati A1 - Nuotio, Marja-Liisa A1 - Houston, Denise K A1 - Perälä, Mia-Maria A1 - Qi, Qibin A1 - Sonestedt, Emily A1 - Manichaikul, Ani A1 - Kanoni, Stavroula A1 - Ganna, Andrea A1 - Mikkilä, Vera A1 - North, Kari E A1 - Siscovick, David S A1 - Harald, Kennet A1 - McKeown, Nicola M A1 - Johansson, Ingegerd A1 - Rissanen, Harri A1 - Liu, Yongmei A1 - Lahti, Jari A1 - Hu, Frank B A1 - Bandinelli, Stefania A1 - Rukh, Gull A1 - Rich, Stephen A1 - Booij, Lisanne A1 - Dmitriou, Maria A1 - Ax, Erika A1 - Raitakari, Olli A1 - Mukamal, Kenneth A1 - Männistö, Satu A1 - Hallmans, Göran A1 - Jula, Antti A1 - Ericson, Ulrika A1 - Jacobs, David R A1 - van Rooij, Frank J A A1 - Deloukas, Panos A1 - Sjogren, Per A1 - Kähönen, Mika A1 - Djoussé, Luc A1 - Perola, Markus A1 - Barroso, Inês A1 - Hofman, Albert A1 - Stirrups, Kathleen A1 - Viikari, Jorma A1 - Uitterlinden, André G A1 - Kalafati, Ioanna P A1 - Franco, Oscar H A1 - Mozaffarian, Dariush A1 - Salomaa, Veikko A1 - Borecki, Ingrid B A1 - Knekt, Paul A1 - Kritchevsky, Stephen B A1 - Eriksson, Johan G A1 - Dedoussis, George V A1 - Qi, Lu A1 - Ferrucci, Luigi A1 - Orho-Melander, Marju A1 - Zillikens, M Carola A1 - Ingelsson, Erik A1 - Lehtimäki, Terho A1 - Renstrom, Frida A1 - Cupples, L Adrienne A1 - Loos, Ruth J F A1 - Franks, Paul W KW - Adult KW - Body Mass Index KW - Case-Control Studies KW - Diet, Western KW - Epistasis, Genetic KW - European Continental Ancestry Group KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Humans KW - Male KW - Obesity KW - Polymorphism, Single Nucleotide AB -

Obesity is highly heritable. Genetic variants showing robust associations with obesity traits have been identified through genome-wide association studies. We investigated whether a composite score representing healthy diet modifies associations of these variants with obesity traits. Totally, 32 body mass index (BMI)- and 14 waist-hip ratio (WHR)-associated single nucleotide polymorphisms were genotyped, and genetic risk scores (GRS) were calculated in 18 cohorts of European ancestry (n = 68 317). Diet score was calculated based on self-reported intakes of whole grains, fish, fruits, vegetables, nuts/seeds (favorable) and red/processed meats, sweets, sugar-sweetened beverages and fried potatoes (unfavorable). Multivariable adjusted, linear regression within each cohort followed by inverse variance-weighted, fixed-effects meta-analysis was used to characterize: (a) associations of each GRS with BMI and BMI-adjusted WHR and (b) diet score modification of genetic associations with BMI and BMI-adjusted WHR. Nominally significant interactions (P = 0.006-0.04) were observed between the diet score and WHR-GRS (but not BMI-GRS), two WHR loci (GRB14 rs10195252; LYPLAL1 rs4846567) and two BMI loci (LRRN6C rs10968576; MTIF3 rs4771122), for the respective BMI-adjusted WHR or BMI outcomes. Although the magnitudes of these select interactions were small, our data indicated that associations between genetic predisposition and obesity traits were stronger with a healthier diet. Our findings generate interesting hypotheses; however, experimental and functional studies are needed to determine their clinical relevance.

VL - 24 IS - 16 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25994509?dopt=Abstract ER - TY - JOUR T1 - Low-Frequency Synonymous Coding Variation in CYP2R1 Has Large Effects on Vitamin D Levels and Risk of Multiple Sclerosis. JF - Am J Hum Genet Y1 - 2017 A1 - Manousaki, Despoina A1 - Dudding, Tom A1 - Haworth, Simon A1 - Hsu, Yi-Hsiang A1 - Liu, Ching-Ti A1 - Medina-Gómez, Carolina A1 - Voortman, Trudy A1 - van der Velde, Nathalie A1 - Melhus, Håkan A1 - Robinson-Cohen, Cassianne A1 - Cousminer, Diana L A1 - Nethander, Maria A1 - Vandenput, Liesbeth A1 - Noordam, Raymond A1 - Forgetta, Vincenzo A1 - Greenwood, Celia M T A1 - Biggs, Mary L A1 - Psaty, Bruce M A1 - Rotter, Jerome I A1 - Zemel, Babette S A1 - Mitchell, Jonathan A A1 - Taylor, Bruce A1 - Lorentzon, Mattias A1 - Karlsson, Magnus A1 - Jaddoe, Vincent V W A1 - Tiemeier, Henning A1 - Campos-Obando, Natalia A1 - Franco, Oscar H A1 - Utterlinden, Andre G A1 - Broer, Linda A1 - van Schoor, Natasja M A1 - Ham, Annelies C A1 - Ikram, M Arfan A1 - Karasik, David A1 - de Mutsert, Renée A1 - Rosendaal, Frits R A1 - den Heijer, Martin A1 - Wang, Thomas J A1 - Lind, Lars A1 - Orwoll, Eric S A1 - Mook-Kanamori, Dennis O A1 - Michaëlsson, Karl A1 - Kestenbaum, Bryan A1 - Ohlsson, Claes A1 - Mellström, Dan A1 - de Groot, Lisette C P G M A1 - Grant, Struan F A A1 - Kiel, Douglas P A1 - Zillikens, M Carola A1 - Rivadeneira, Fernando A1 - Sawcer, Stephen A1 - Timpson, Nicholas J A1 - Richards, J Brent KW - Cholestanetriol 26-Monooxygenase KW - Cytochrome P450 Family 2 KW - Gene Frequency KW - Genetic Predisposition to Disease KW - Genome, Human KW - Genome-Wide Association Study KW - Humans KW - Multiple Sclerosis KW - Polymorphism, Single Nucleotide KW - Risk Factors KW - Vitamin D KW - Vitamin D Deficiency AB -

Vitamin D insufficiency is common, correctable, and influenced by genetic factors, and it has been associated with risk of several diseases. We sought to identify low-frequency genetic variants that strongly increase the risk of vitamin D insufficiency and tested their effect on risk of multiple sclerosis, a disease influenced by low vitamin D concentrations. We used whole-genome sequencing data from 2,619 individuals through the UK10K program and deep-imputation data from 39,655 individuals genotyped genome-wide. Meta-analysis of the summary statistics from 19 cohorts identified in CYP2R1 the low-frequency (minor allele frequency = 2.5%) synonymous coding variant g.14900931G>A (p.Asp120Asp) (rs117913124[A]), which conferred a large effect on 25-hydroxyvitamin D (25OHD) levels (-0.43 SD of standardized natural log-transformed 25OHD per A allele; p value = 1.5 × 10(-88)). The effect on 25OHD was four times larger and independent of the effect of a previously described common variant near CYP2R1. By analyzing 8,711 individuals, we showed that heterozygote carriers of this low-frequency variant have an increased risk of vitamin D insufficiency (odds ratio [OR] = 2.2, 95% confidence interval [CI] = 1.78-2.78, p = 1.26 × 10(-12)). Individuals carrying one copy of this variant also had increased odds of multiple sclerosis (OR = 1.4, 95% CI = 1.19-1.64, p = 2.63 × 10(-5)) in a sample of 5,927 case and 5,599 control subjects. In conclusion, we describe a low-frequency CYP2R1 coding variant that exerts the largest effect upon 25OHD levels identified to date in the general European population and implicates vitamin D in the etiology of multiple sclerosis.

VL - 101 IS - 2 ER - TY - JOUR T1 - Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies. JF - Lancet Y1 - 2018 A1 - Wood, Angela M A1 - Kaptoge, Stephen A1 - Butterworth, Adam S A1 - Willeit, Peter A1 - Warnakula, Samantha A1 - Bolton, Thomas A1 - Paige, Ellie A1 - Paul, Dirk S A1 - Sweeting, Michael A1 - Burgess, Stephen A1 - Bell, Steven A1 - Astle, William A1 - Stevens, David A1 - Koulman, Albert A1 - Selmer, Randi M A1 - Verschuren, W M Monique A1 - Sato, Shinichi A1 - Njølstad, Inger A1 - Woodward, Mark A1 - Salomaa, Veikko A1 - Nordestgaard, Børge G A1 - Yeap, Bu B A1 - Fletcher, Astrid A1 - Melander, Olle A1 - Kuller, Lewis H A1 - Balkau, Beverley A1 - Marmot, Michael A1 - Koenig, Wolfgang A1 - Casiglia, Edoardo A1 - Cooper, Cyrus A1 - Arndt, Volker A1 - Franco, Oscar H A1 - Wennberg, Patrik A1 - Gallacher, John A1 - de la Cámara, Agustin Gómez A1 - Völzke, Henry A1 - Dahm, Christina C A1 - Dale, Caroline E A1 - Bergmann, Manuela M A1 - Crespo, Carlos J A1 - van der Schouw, Yvonne T A1 - Kaaks, Rudolf A1 - Simons, Leon A A1 - Lagiou, Pagona A1 - Schoufour, Josje D A1 - Boer, Jolanda M A A1 - Key, Timothy J A1 - Rodriguez, Beatriz A1 - Moreno-Iribas, Conchi A1 - Davidson, Karina W A1 - Taylor, James O A1 - Sacerdote, Carlotta A1 - Wallace, Robert B A1 - Quiros, J Ramon A1 - Tumino, Rosario A1 - Blazer, Dan G A1 - Linneberg, Allan A1 - Daimon, Makoto A1 - Panico, Salvatore A1 - Howard, Barbara A1 - Skeie, Guri A1 - Strandberg, Timo A1 - Weiderpass, Elisabete A1 - Nietert, Paul J A1 - Psaty, Bruce M A1 - Kromhout, Daan A1 - Salamanca-Fernandez, Elena A1 - Kiechl, Stefan A1 - Krumholz, Harlan M A1 - Grioni, Sara A1 - Palli, Domenico A1 - Huerta, José M A1 - Price, Jackie A1 - Sundström, Johan A1 - Arriola, Larraitz A1 - Arima, Hisatomi A1 - Travis, Ruth C A1 - Panagiotakos, Demosthenes B A1 - Karakatsani, Anna A1 - Trichopoulou, Antonia A1 - Kühn, Tilman A1 - Grobbee, Diederick E A1 - Barrett-Connor, Elizabeth A1 - van Schoor, Natasja A1 - Boeing, Heiner A1 - Overvad, Kim A1 - Kauhanen, Jussi A1 - Wareham, Nick A1 - Langenberg, Claudia A1 - Forouhi, Nita A1 - Wennberg, Maria A1 - Després, Jean-Pierre A1 - Cushman, Mary A1 - Cooper, Jackie A A1 - Rodriguez, Carlos J A1 - Sakurai, Masaru A1 - Shaw, Jonathan E A1 - Knuiman, Matthew A1 - Voortman, Trudy A1 - Meisinger, Christa A1 - Tjønneland, Anne A1 - Brenner, Hermann A1 - Palmieri, Luigi A1 - Dallongeville, Jean A1 - Brunner, Eric J A1 - Assmann, Gerd A1 - Trevisan, Maurizio A1 - Gillum, Richard F A1 - Ford, Ian A1 - Sattar, Naveed A1 - Lazo, Mariana A1 - Thompson, Simon G A1 - Ferrari, Pietro A1 - Leon, David A A1 - Smith, George Davey A1 - Peto, Richard A1 - Jackson, Rod A1 - Banks, Emily A1 - Di Angelantonio, Emanuele A1 - Danesh, John AB -

BACKGROUND: Low-risk limits recommended for alcohol consumption vary substantially across different national guidelines. To define thresholds associated with lowest risk for all-cause mortality and cardiovascular disease, we studied individual-participant data from 599 912 current drinkers without previous cardiovascular disease.

METHODS: We did a combined analysis of individual-participant data from three large-scale data sources in 19 high-income countries (the Emerging Risk Factors Collaboration, EPIC-CVD, and the UK Biobank). We characterised dose-response associations and calculated hazard ratios (HRs) per 100 g per week of alcohol (12·5 units per week) across 83 prospective studies, adjusting at least for study or centre, age, sex, smoking, and diabetes. To be eligible for the analysis, participants had to have information recorded about their alcohol consumption amount and status (ie, non-drinker vs current drinker), plus age, sex, history of diabetes and smoking status, at least 1 year of follow-up after baseline, and no baseline history of cardiovascular disease. The main analyses focused on current drinkers, whose baseline alcohol consumption was categorised into eight predefined groups according to the amount in grams consumed per week. We assessed alcohol consumption in relation to all-cause mortality, total cardiovascular disease, and several cardiovascular disease subtypes. We corrected HRs for estimated long-term variability in alcohol consumption using 152 640 serial alcohol assessments obtained some years apart (median interval 5·6 years [5th-95th percentile 1·04-13·5]) from 71 011 participants from 37 studies.

FINDINGS: In the 599 912 current drinkers included in the analysis, we recorded 40 310 deaths and 39 018 incident cardiovascular disease events during 5·4 million person-years of follow-up. For all-cause mortality, we recorded a positive and curvilinear association with the level of alcohol consumption, with the minimum mortality risk around or below 100 g per week. Alcohol consumption was roughly linearly associated with a higher risk of stroke (HR per 100 g per week higher consumption 1·14, 95% CI, 1·10-1·17), coronary disease excluding myocardial infarction (1·06, 1·00-1·11), heart failure (1·09, 1·03-1·15), fatal hypertensive disease (1·24, 1·15-1·33); and fatal aortic aneurysm (1·15, 1·03-1·28). By contrast, increased alcohol consumption was log-linearly associated with a lower risk of myocardial infarction (HR 0·94, 0·91-0·97). In comparison to those who reported drinking >0-≤100 g per week, those who reported drinking >100-≤200 g per week, >200-≤350 g per week, or >350 g per week had lower life expectancy at age 40 years of approximately 6 months, 1-2 years, or 4-5 years, respectively.

INTERPRETATION: In current drinkers of alcohol in high-income countries, the threshold for lowest risk of all-cause mortality was about 100 g/week. For cardiovascular disease subtypes other than myocardial infarction, there were no clear risk thresholds below which lower alcohol consumption stopped being associated with lower disease risk. These data support limits for alcohol consumption that are lower than those recommended in most current guidelines.

FUNDING: UK Medical Research Council, British Heart Foundation, National Institute for Health Research, European Union Framework 7, and European Research Council.

VL - 391 IS - 10129 ER - TY - JOUR T1 - Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. JF - Nat Commun Y1 - 2019 A1 - Kilpeläinen, Tuomas O A1 - Bentley, Amy R A1 - Noordam, Raymond A1 - Sung, Yun Ju A1 - Schwander, Karen A1 - Winkler, Thomas W A1 - Jakupović, Hermina A1 - Chasman, Daniel I A1 - Manning, Alisa A1 - Ntalla, Ioanna A1 - Aschard, Hugues A1 - Brown, Michael R A1 - de Las Fuentes, Lisa A1 - Franceschini, Nora A1 - Guo, Xiuqing A1 - Vojinovic, Dina A1 - Aslibekyan, Stella A1 - Feitosa, Mary F A1 - Kho, Minjung A1 - Musani, Solomon K A1 - Richard, Melissa A1 - Wang, Heming A1 - Wang, Zhe A1 - Bartz, Traci M A1 - Bielak, Lawrence F A1 - Campbell, Archie A1 - Dorajoo, Rajkumar A1 - Fisher, Virginia A1 - Hartwig, Fernando P A1 - Horimoto, Andrea R V R A1 - Li, Changwei A1 - Lohman, Kurt K A1 - Marten, Jonathan A1 - Sim, Xueling A1 - Smith, Albert V A1 - Tajuddin, Salman M A1 - Alver, Maris A1 - Amini, Marzyeh A1 - Boissel, Mathilde A1 - Chai, Jin Fang A1 - Chen, Xu A1 - Divers, Jasmin A1 - Evangelou, Evangelos A1 - Gao, Chuan A1 - Graff, Mariaelisa A1 - Harris, Sarah E A1 - He, Meian A1 - Hsu, Fang-Chi A1 - Jackson, Anne U A1 - Zhao, Jing Hua A1 - Kraja, Aldi T A1 - Kuhnel, Brigitte A1 - Laguzzi, Federica A1 - Lyytikäinen, Leo-Pekka A1 - Nolte, Ilja M A1 - Rauramaa, Rainer A1 - Riaz, Muhammad A1 - Robino, Antonietta A1 - Rueedi, Rico A1 - Stringham, Heather M A1 - Takeuchi, Fumihiko A1 - van der Most, Peter J A1 - Varga, Tibor V A1 - Verweij, Niek A1 - Ware, Erin B A1 - Wen, Wanqing A1 - Li, Xiaoyin A1 - Yanek, Lisa R A1 - Amin, Najaf A1 - Arnett, Donna K A1 - Boerwinkle, Eric A1 - Brumat, Marco A1 - Cade, Brian A1 - Canouil, Mickaël A1 - Chen, Yii-Der Ida A1 - Concas, Maria Pina A1 - Connell, John A1 - de Mutsert, Renée A1 - de Silva, H Janaka A1 - de Vries, Paul S A1 - Demirkan, Ayse A1 - Ding, Jingzhong A1 - Eaton, Charles B A1 - Faul, Jessica D A1 - Friedlander, Yechiel A1 - Gabriel, Kelley P A1 - Ghanbari, Mohsen A1 - Giulianini, Franco A1 - Gu, Chi Charles A1 - Gu, Dongfeng A1 - Harris, Tamara B A1 - He, Jiang A1 - Heikkinen, Sami A1 - Heng, Chew-Kiat A1 - Hunt, Steven C A1 - Ikram, M Arfan A1 - Jonas, Jost B A1 - Koh, Woon-Puay A1 - Komulainen, Pirjo A1 - Krieger, Jose E A1 - Kritchevsky, Stephen B A1 - Kutalik, Zoltán A1 - Kuusisto, Johanna A1 - Langefeld, Carl D A1 - Langenberg, Claudia A1 - Launer, Lenore J A1 - Leander, Karin A1 - Lemaitre, Rozenn N A1 - Lewis, Cora E A1 - Liang, Jingjing A1 - Liu, Jianjun A1 - Mägi, Reedik A1 - Manichaikul, Ani A1 - Meitinger, Thomas A1 - Metspalu, Andres A1 - Milaneschi, Yuri A1 - Mohlke, Karen L A1 - Mosley, Thomas H A1 - Murray, Alison D A1 - Nalls, Mike A A1 - Nang, Ei-Ei Khaing A1 - Nelson, Christopher P A1 - Nona, Sotoodehnia A1 - Norris, Jill M A1 - Nwuba, Chiamaka Vivian A1 - O'Connell, Jeff A1 - Palmer, Nicholette D A1 - Papanicolau, George J A1 - Pazoki, Raha A1 - Pedersen, Nancy L A1 - Peters, Annette A1 - Peyser, Patricia A A1 - Polasek, Ozren A1 - Porteous, David J A1 - Poveda, Alaitz A1 - Raitakari, Olli T A1 - Rich, Stephen S A1 - Risch, Neil A1 - Robinson, Jennifer G A1 - Rose, Lynda M A1 - Rudan, Igor A1 - Schreiner, Pamela J A1 - Scott, Robert A A1 - Sidney, Stephen S A1 - Sims, Mario A1 - Smith, Jennifer A A1 - Snieder, Harold A1 - Sofer, Tamar A1 - Starr, John M A1 - Sternfeld, Barbara A1 - Strauch, Konstantin A1 - Tang, Hua A1 - Taylor, Kent D A1 - Tsai, Michael Y A1 - Tuomilehto, Jaakko A1 - Uitterlinden, André G A1 - van der Ende, M Yldau A1 - van Heemst, Diana A1 - Voortman, Trudy A1 - Waldenberger, Melanie A1 - Wennberg, Patrik A1 - Wilson, Gregory A1 - Xiang, Yong-Bing A1 - Yao, Jie A1 - Yu, Caizheng A1 - Yuan, Jian-Min A1 - Zhao, Wei A1 - Zonderman, Alan B A1 - Becker, Diane M A1 - Boehnke, Michael A1 - Bowden, Donald W A1 - de Faire, Ulf A1 - Deary, Ian J A1 - Elliott, Paul A1 - Esko, Tõnu A1 - Freedman, Barry I A1 - Froguel, Philippe A1 - Gasparini, Paolo A1 - Gieger, Christian A1 - Kato, Norihiro A1 - Laakso, Markku A1 - Lakka, Timo A A1 - Lehtimäki, Terho A1 - Magnusson, Patrik K E A1 - Oldehinkel, Albertine J A1 - Penninx, Brenda W J H A1 - Samani, Nilesh J A1 - Shu, Xiao-Ou A1 - van der Harst, Pim A1 - van Vliet-Ostaptchouk, Jana V A1 - Vollenweider, Peter A1 - Wagenknecht, Lynne E A1 - Wang, Ya X A1 - Wareham, Nicholas J A1 - Weir, David R A1 - Wu, Tangchun A1 - Zheng, Wei A1 - Zhu, Xiaofeng A1 - Evans, Michele K A1 - Franks, Paul W A1 - Gudnason, Vilmundur A1 - Hayward, Caroline A1 - Horta, Bernardo L A1 - Kelly, Tanika N A1 - Liu, Yongmei A1 - North, Kari E A1 - Pereira, Alexandre C A1 - Ridker, Paul M A1 - Tai, E Shyong A1 - van Dam, Rob M A1 - Fox, Ervin R A1 - Kardia, Sharon L R A1 - Liu, Ching-Ti A1 - Mook-Kanamori, Dennis O A1 - Province, Michael A A1 - Redline, Susan A1 - van Duijn, Cornelia M A1 - Rotter, Jerome I A1 - Kooperberg, Charles B A1 - Gauderman, W James A1 - Psaty, Bruce M A1 - Rice, Kenneth A1 - Munroe, Patricia B A1 - Fornage, Myriam A1 - Cupples, L Adrienne A1 - Rotimi, Charles N A1 - Morrison, Alanna C A1 - Rao, Dabeeru C A1 - Loos, Ruth J F KW - Adolescent KW - Adult KW - African Continental Ancestry Group KW - Aged KW - Aged, 80 and over KW - Asian Continental Ancestry Group KW - Brazil KW - Calcium-Binding Proteins KW - Cholesterol KW - Cholesterol, HDL KW - Cholesterol, LDL KW - European Continental Ancestry Group KW - Exercise KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Genotype KW - Hispanic Americans KW - Humans KW - LIM-Homeodomain Proteins KW - Lipid Metabolism KW - Lipids KW - Male KW - Membrane Proteins KW - Microtubule-Associated Proteins KW - Middle Aged KW - Muscle Proteins KW - Nerve Tissue Proteins KW - Transcription Factors KW - Triglycerides KW - Young Adult AB -

Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels.

VL - 10 IS - 1 ER - TY - JOUR T1 - Mendelian randomization analysis does not support causal associations of birth weight with hypertension risk and blood pressure in adulthood. JF - Eur J Epidemiol Y1 - 2020 A1 - Zheng, Yan A1 - Huang, Tao A1 - Wang, Tiange A1 - Mei, Zhendong A1 - Sun, Zhonghan A1 - Zhang, Tao A1 - Ellervik, Christina A1 - Chai, Jin-Fang A1 - Sim, Xueling A1 - van Dam, Rob M A1 - Tai, E-Shyong A1 - Koh, Woon-Puay A1 - Dorajoo, Rajkumar A1 - Saw, Seang-Mei A1 - Sabanayagam, Charumathi A1 - Wong, Tien Yin A1 - Gupta, Preeti A1 - Rossing, Peter A1 - Ahluwalia, Tarunveer S A1 - Vinding, Rebecca K A1 - Bisgaard, Hans A1 - Bønnelykke, Klaus A1 - Wang, Yujie A1 - Graff, Mariaelisa A1 - Voortman, Trudy A1 - van Rooij, Frank J A A1 - Hofman, Albert A1 - van Heemst, Diana A1 - Noordam, Raymond A1 - Estampador, Angela C A1 - Varga, Tibor V A1 - Enzenbach, Cornelia A1 - Scholz, Markus A1 - Thiery, Joachim A1 - Burkhardt, Ralph A1 - Orho-Melander, Marju A1 - Schulz, Christina-Alexandra A1 - Ericson, Ulrika A1 - Sonestedt, Emily A1 - Kubo, Michiaki A1 - Akiyama, Masato A1 - Zhou, Ang A1 - Kilpeläinen, Tuomas O A1 - Hansen, Torben A1 - Kleber, Marcus E A1 - Delgado, Graciela A1 - McCarthy, Mark A1 - Lemaitre, Rozenn N A1 - Felix, Janine F A1 - Jaddoe, Vincent W V A1 - Wu, Ying A1 - Mohlke, Karen L A1 - Lehtimäki, Terho A1 - Wang, Carol A A1 - Pennell, Craig E A1 - Schunkert, Heribert A1 - Kessler, Thorsten A1 - Zeng, Lingyao A1 - Willenborg, Christina A1 - Peters, Annette A1 - Lieb, Wolfgang A1 - Grote, Veit A1 - Rzehak, Peter A1 - Koletzko, Berthold A1 - Erdmann, Jeanette A1 - Munz, Matthias A1 - Wu, Tangchun A1 - He, Meian A1 - Yu, Caizheng A1 - Lecoeur, Cécile A1 - Froguel, Philippe A1 - Corella, Dolores A1 - Moreno, Luis A A1 - Lai, Chao-Qiang A1 - Pitkänen, Niina A1 - Boreham, Colin A A1 - Ridker, Paul M A1 - Rosendaal, Frits R A1 - de Mutsert, Renée A1 - Power, Chris A1 - Paternoster, Lavinia A1 - Sørensen, Thorkild I A A1 - Tjønneland, Anne A1 - Overvad, Kim A1 - Djoussé, Luc A1 - Rivadeneira, Fernando A1 - Lee, Nanette R A1 - Raitakari, Olli T A1 - Kähönen, Mika A1 - Viikari, Jorma A1 - Langhendries, Jean-Paul A1 - Escribano, Joaquin A1 - Verduci, Elvira A1 - Dedoussis, George A1 - König, Inke A1 - Balkau, Beverley A1 - Coltell, Oscar A1 - Dallongeville, Jean A1 - Meirhaeghe, Aline A1 - Amouyel, Philippe A1 - Gottrand, Frédéric A1 - Pahkala, Katja A1 - Niinikoski, Harri A1 - Hyppönen, Elina A1 - März, Winfried A1 - Mackey, David A A1 - Gruszfeld, Dariusz A1 - Tucker, Katherine L A1 - Fumeron, Frédéric A1 - Estruch, Ramon A1 - Ordovas, Jose M A1 - Arnett, Donna K A1 - Mook-Kanamori, Dennis O A1 - Mozaffarian, Dariush A1 - Psaty, Bruce M A1 - North, Kari E A1 - Chasman, Daniel I A1 - Qi, Lu AB -

Epidemiology studies suggested that low birthweight was associated with a higher risk of hypertension in later life. However, little is known about the causality of such associations. In our study, we evaluated the causal association of low birthweight with adulthood hypertension following a standard analytic protocol using the study-level data of 183,433 participants from 60 studies (CHARGE-BIG consortium), as well as that with blood pressure using publicly available summary-level genome-wide association data from EGG consortium of 153,781 participants, ICBP consortium and UK Biobank cohort together of 757,601 participants. We used seven SNPs as the instrumental variable in the study-level analysis and 47 SNPs in the summary-level analysis. In the study-level analyses, decreased birthweight was associated with a higher risk of hypertension in adults (the odds ratio per 1 standard deviation (SD) lower birthweight, 1.22; 95% CI 1.16 to 1.28), while no association was found between genetically instrumented birthweight and hypertension risk (instrumental odds ratio for causal effect per 1 SD lower birthweight, 0.97; 95% CI 0.68 to 1.41). Such results were consistent with that from the summary-level analyses, where the genetically determined low birthweight was not associated with blood pressure measurements either. One SD lower genetically determined birthweight was not associated with systolic blood pressure (β = - 0.76, 95% CI - 2.45 to 1.08 mmHg), 0.06 mmHg lower diastolic blood pressure (β = - 0.06, 95% CI - 0.93 to 0.87 mmHg), or pulse pressure (β = - 0.65, 95% CI - 1.38 to 0.69 mmHg, all p > 0.05). Our findings suggest that the inverse association of birthweight with hypertension risk from observational studies was not supported by large Mendelian randomization analyses.

VL - 35 IS - 7 ER - TY - JOUR T1 - Whole Blood DNA Methylation Signatures of Diet Are Associated With Cardiovascular Disease Risk Factors and All-Cause Mortality. JF - Circ Genom Precis Med Y1 - 2020 A1 - Ma, Jiantao A1 - Rebholz, Casey M A1 - Braun, Kim V E A1 - Reynolds, Lindsay M A1 - Aslibekyan, Stella A1 - Xia, Rui A1 - Biligowda, Niranjan G A1 - Huan, Tianxiao A1 - Liu, Chunyu A1 - Mendelson, Michael M A1 - Joehanes, Roby A1 - Hu, Emily A A1 - Vitolins, Mara Z A1 - Wood, Alexis C A1 - Lohman, Kurt A1 - Ochoa-Rosales, Carolina A1 - van Meurs, Joyce A1 - Uitterlinden, Andre A1 - Liu, Yongmei A1 - Elhadad, Mohamed A A1 - Heier, Margit A1 - Waldenberger, Melanie A1 - Peters, Annette A1 - Colicino, Elena A1 - Whitsel, Eric A A1 - Baldassari, Antoine A1 - Gharib, Sina A A1 - Sotoodehnia, Nona A1 - Brody, Jennifer A A1 - Sitlani, Colleen M A1 - Tanaka, Toshiko A1 - Hill, W David A1 - Corley, Janie A1 - Deary, Ian J A1 - Zhang, Yan A1 - Schöttker, Ben A1 - Brenner, Hermann A1 - Walker, Maura E A1 - Ye, Shumao A1 - Nguyen, Steve A1 - Pankow, Jim A1 - Demerath, Ellen W A1 - Zheng, Yinan A1 - Hou, Lifang A1 - Liang, Liming A1 - Lichtenstein, Alice H A1 - Hu, Frank B A1 - Fornage, Myriam A1 - Voortman, Trudy A1 - Levy, Daniel AB -

BACKGROUND: DNA methylation patterns associated with habitual diet have not been well studied.

METHODS: Diet quality was characterized using a Mediterranean-style diet score and the Alternative Healthy Eating Index score. We conducted ethnicity-specific and trans-ethnic epigenome-wide association analyses for diet quality and leukocyte-derived DNA methylation at over 400 000 CpGs (cytosine-guanine dinucleotides) in 5 population-based cohorts including 6662 European ancestry, 2702 African ancestry, and 360 Hispanic ancestry participants. For diet-associated CpGs identified in epigenome-wide analyses, we conducted Mendelian randomization (MR) analysis to examine their relations to cardiovascular disease risk factors and examined their longitudinal associations with all-cause mortality.

RESULTS: We identified 30 CpGs associated with either Mediterranean-style diet score or Alternative Healthy Eating Index, or both, in European ancestry participants. Among these CpGs, 12 CpGs were significantly associated with all-cause mortality (Bonferroni corrected <1.6×10). Hypermethylation of cg18181703 () was associated with higher scores of both Mediterranean-style diet score and Alternative Healthy Eating Index and lower risk for all-cause mortality (=5.7×10). Ten additional diet-associated CpGs were nominally associated with all-cause mortality (<0.05). MR analysis revealed 8 putatively causal associations for 6 CpGs with 4 cardiovascular disease risk factors (body mass index, triglycerides, high-density lipoprotein cholesterol concentrations, and type 2 diabetes mellitus; Bonferroni corrected MR <4.5×10). For example, hypermethylation of cg11250194 () was associated with lower triglyceride concentrations (MR, =1.5×10).and hypermethylation of cg02079413 (; ) was associated with body mass index (corrected MR, =1×10).

CONCLUSIONS: Habitual diet quality was associated with differential peripheral leukocyte DNA methylation levels of 30 CpGs, most of which were also associated with multiple health outcomes, in European ancestry individuals. These findings demonstrate that integrative genomic analysis of dietary information may reveal molecular targets for disease prevention and treatment.

VL - 13 IS - 4 ER - TY - JOUR T1 - Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations. JF - Circ Genom Precis Med Y1 - 2021 A1 - Haslam, Danielle E A1 - Peloso, Gina M A1 - Guirette, Melanie A1 - Imamura, Fumiaki A1 - Bartz, Traci M A1 - Pitsillides, Achilleas N A1 - Wang, Carol A A1 - Li-Gao, Ruifang A1 - Westra, Jason M A1 - Pitkänen, Niina A1 - Young, Kristin L A1 - Graff, Mariaelisa A1 - Wood, Alexis C A1 - Braun, Kim V E A1 - Luan, Jian'an A1 - Kähönen, Mika A1 - Kiefte-de Jong, Jessica C A1 - Ghanbari, Mohsen A1 - Tintle, Nathan A1 - Lemaitre, Rozenn N A1 - Mook-Kanamori, Dennis O A1 - North, Kari A1 - Helminen, Mika A1 - Mossavar-Rahmani, Yasmin A1 - Snetselaar, Linda A1 - Martin, Lisa W A1 - Viikari, Jorma S A1 - Oddy, Wendy H A1 - Pennell, Craig E A1 - Rosendall, Frits R A1 - Ikram, M Arfan A1 - Uitterlinden, André G A1 - Psaty, Bruce M A1 - Mozaffarian, Dariush A1 - Rotter, Jerome I A1 - Taylor, Kent D A1 - Lehtimäki, Terho A1 - Raitakari, Olli T A1 - Livingston, Kara A A1 - Voortman, Trudy A1 - Forouhi, Nita G A1 - Wareham, Nick J A1 - de Mutsert, Renée A1 - Rich, Steven S A1 - Manson, JoAnn E A1 - Mora, Samia A1 - Ridker, Paul M A1 - Merino, Jordi A1 - Meigs, James B A1 - Dashti, Hassan S A1 - Chasman, Daniel I A1 - Lichtenstein, Alice H A1 - Smith, Caren E A1 - Dupuis, Josée A1 - Herman, Mark A A1 - McKeown, Nicola M AB -

BACKGROUND: ChREBP (carbohydrate responsive element binding protein) is a transcription factor that responds to sugar consumption. Sugar-sweetened beverage (SSB) consumption and genetic variants in the locus have separately been linked to HDL-C (high-density lipoprotein cholesterol) and triglyceride concentrations. We hypothesized that SSB consumption would modify the association between genetic variants in the locus and dyslipidemia.

METHODS: Data from 11 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (N=63 599) and the UK Biobank (N=59 220) were used to quantify associations of SSB consumption, genetic variants, and their interaction on HDL-C and triglyceride concentrations using linear regression models. A total of 1606 single nucleotide polymorphisms within or near were considered. SSB consumption was estimated from validated questionnaires, and participants were grouped by their estimated intake.

RESULTS: In a meta-analysis, rs71556729 was significantly associated with higher HDL-C concentrations only among the highest SSB consumers (β, 2.12 [95% CI, 1.16-3.07] mg/dL per allele; <0.0001), but not significantly among the lowest SSB consumers (=0.81; <0.0001). Similar results were observed for 2 additional variants (rs35709627 and rs71556736). For triglyceride, rs55673514 was positively associated with triglyceride concentrations only among the highest SSB consumers (β, 0.06 [95% CI, 0.02-0.09] ln-mg/dL per allele, =0.001) but not the lowest SSB consumers (=0.84; =0.0005).

CONCLUSIONS: Our results identified genetic variants in the locus that may protect against SSB-associated reductions in HDL-C and other variants that may exacerbate SSB-associated increases in triglyceride concentrations. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT00005133, NCT00005121, NCT00005487, and NCT00000479.

VL - 14 IS - 4 ER - TY - JOUR T1 - Integrative analysis of clinical and epigenetic biomarkers of mortality. JF - Aging Cell Y1 - 2022 A1 - Huan, Tianxiao A1 - Nguyen, Steve A1 - Colicino, Elena A1 - Ochoa-Rosales, Carolina A1 - Hill, W David A1 - Brody, Jennifer A A1 - Soerensen, Mette A1 - Zhang, Yan A1 - Baldassari, Antoine A1 - Elhadad, Mohamed Ahmed A1 - Toshiko, Tanaka A1 - Zheng, Yinan A1 - Domingo-Relloso, Arce A1 - Lee, Dong Heon A1 - Ma, Jiantao A1 - Yao, Chen A1 - Liu, Chunyu A1 - Hwang, Shih-Jen A1 - Joehanes, Roby A1 - Fornage, Myriam A1 - Bressler, Jan A1 - van Meurs, Joyce B J A1 - Debrabant, Birgit A1 - Mengel-From, Jonas A1 - Hjelmborg, Jacob A1 - Christensen, Kaare A1 - Vokonas, Pantel A1 - Schwartz, Joel A1 - Gahrib, Sina A A1 - Sotoodehnia, Nona A1 - Sitlani, Colleen M A1 - Kunze, Sonja A1 - Gieger, Christian A1 - Peters, Annette A1 - Waldenberger, Melanie A1 - Deary, Ian J A1 - Ferrucci, Luigi A1 - Qu, Yishu A1 - Greenland, Philip A1 - Lloyd-Jones, Donald M A1 - Hou, Lifang A1 - Bandinelli, Stefania A1 - Voortman, Trudy A1 - Hermann, Brenner A1 - Baccarelli, Andrea A1 - Whitsel, Eric A1 - Pankow, James S A1 - Levy, Daniel KW - Biomarkers KW - Cardiovascular Diseases KW - DNA Methylation KW - Epigenesis, Genetic KW - Epigenomics KW - Humans KW - Male KW - Neoplasms AB -

DNA methylation (DNAm) has been reported to be associated with many diseases and with mortality. We hypothesized that the integration of DNAm with clinical risk factors would improve mortality prediction. We performed an epigenome-wide association study of whole blood DNAm in relation to mortality in 15 cohorts (n = 15,013). During a mean follow-up of 10 years, there were 4314 deaths from all causes including 1235 cardiovascular disease (CVD) deaths and 868 cancer deaths. Ancestry-stratified meta-analysis of all-cause mortality identified 163 CpGs in European ancestry (EA) and 17 in African ancestry (AA) participants at p < 1 × 10 , of which 41 (EA) and 16 (AA) were also associated with CVD death, and 15 (EA) and 9 (AA) with cancer death. We built DNAm-based prediction models for all-cause mortality that predicted mortality risk after adjusting for clinical risk factors. The mortality prediction model trained by integrating DNAm with clinical risk factors showed an improvement in prediction of cancer death with 5% increase in the C-index in a replication cohort, compared with the model including clinical risk factors alone. Mendelian randomization identified 15 putatively causal CpGs in relation to longevity, CVD, or cancer risk. For example, cg06885782 (in KCNQ4) was positively associated with risk for prostate cancer (Beta = 1.2, P  = 4.1 × 10 ) and negatively associated with longevity (Beta = -1.9, P  = 0.02). Pathway analysis revealed that genes associated with mortality-related CpGs are enriched for immune- and cancer-related pathways. We identified replicable DNAm signatures of mortality and demonstrated the potential utility of CpGs as informative biomarkers for prediction of mortality risk.

VL - 21 IS - 6 ER - TY - JOUR T1 - Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure. JF - medRxiv Y1 - 2023 A1 - Guirette, Melanie A1 - Lan, Jessie A1 - McKeown, Nicola A1 - Brown, Michael R A1 - Chen, Han A1 - de Vries, Paul S A1 - Kim, Hyunju A1 - Rebholz, Casey M A1 - Morrison, Alanna C A1 - Bartz, Traci M A1 - Fretts, Amanda M A1 - Guo, Xiuqing A1 - Lemaitre, Rozenn N A1 - Liu, Ching-Ti A1 - Noordam, Raymond A1 - de Mutsert, Renée A1 - Rosendaal, Frits R A1 - Wang, Carol A A1 - Beilin, Lawrence A1 - Mori, Trevor A A1 - Oddy, Wendy H A1 - Pennell, Craig E A1 - Chai, Jin Fang A1 - Whitton, Clare A1 - van Dam, Rob M A1 - Liu, Jianjun A1 - Tai, E Shyong A1 - Sim, Xueling A1 - Neuhouser, Marian L A1 - Kooperberg, Charles A1 - Tinker, Lesley A1 - Franceschini, Nora A1 - Huan, Tianxiao A1 - Winkler, Thomas W A1 - Bentley, Amy R A1 - Gauderman, W James A1 - Heerkens, Luc A1 - Tanaka, Toshiko A1 - van Rooij, Jeroen A1 - Munroe, Patricia B A1 - Warren, Helen R A1 - Voortman, Trudy A1 - Chen, Honglei A1 - Rao, D C A1 - Levy, Daniel A1 - Ma, Jiantao AB -

OBJECTIVE: We examined interactions between genotype and a Dietary Approaches to Stop Hypertension (DASH) diet score in relation to systolic blood pressure (SBP).

METHODS: We analyzed up to 9,420,585 biallelic imputed single nucleotide polymorphisms (SNPs) in up to 127,282 individuals of six population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (CHARGE; n=35,660) and UK Biobank (n=91,622) and performed European population-specific and cross-population meta-analyses.

RESULTS: We identified three loci in European-specific analyses and an additional four loci in cross-population analyses at P for interaction < 5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency = 0.03) and the DASH diet score (P for interaction = 4e-8; P for heterogeneity = 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg (P for interaction = 9.4e-7) and 0.20±0.06 mm Hg (P for interaction = 0.001) in CHARGE and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with -expression quantitative trait loci (eQTL) variants (P = 4e-273) and -DNA methylation quantitative trait loci (mQTL) variants (P = 1e-300). While the closest gene for rs117878928 is , the highest narrow sense heritability accounted by SNPs potentially interacting with the DASH diet score in this locus was for gene at 15q25.1.

CONCLUSION: We demonstrated gene-DASH diet score interaction effects on SBP in several loci. Studies with larger diverse populations are needed to validate our findings.

ER -